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Record W4411395529 · doi:10.1016/j.ard.2025.05.521

POS0133 THE FINDINGS FROM MOST RANDOMIZED CONTROLLED TRIALS OF GIANT CELL ARTERITIS AND TAKAYASU ARTERITIS ARE FRAGILE

2025· article· en· W4411395529 on OpenAlexaff
Durga Prasanna Misra, C. Mukhtyar, Kunal Chandwar, Michael Putman, Michael Walsh

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsMedicineGiant cell arteritisTakayasu arteritisRandomized controlled trialArteritisTakayasu's arteritisVasculitisInternal medicineDisease

Abstract

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Background: The fragility of randomized controlled trials (RCTs) can be described using the fragility index, which is the minimum number of events that need to be have a different outcome in the intervention group to render a trial with significant results as non-significant (fragility index - FI) and vice versa (reverse fragility index – RFI) using Fisher's exact test [1,2]. No studies to date have described the FI of trials in large vessel vasculitis. Objectives: To evaluate the robustness of published RCTs in giant cell arteritis (GCA) and Takayasu arteritis (TAK) identified via a systematic review by assessing their fragility (FI or RFI) and fragility quotient (FQ) for trials with categorical outcomes. Methods: RCTs that evaluated GCA or TAK were identified using a systematic review of MEDLINE (via Ovid), EMBASE, CENTRAL, clinicaltrials.gov and ISRCTN on 9 th December 2024 (PROSPERO registration identifier CRD42025619443). The FI or RFI were calculated for primary or key secondary endpoints (if primary endpoint was not categorical). FQ was calculated as the ratio of FI (or RFI) to total number of trial subjects, reflecting what percentage of trial participants needed to have a different outcome for a significant trial to become non-significant (or vice versa). Some trials had more than one primary endpoint. Risk of Bias (High, Some Concern, Low) was assessed using Cochrane Risk of Bias 2 tool. The FQ was compared between studies with low risk of bias versus those with some concerns or high risk of bias using unpaired Student's t-test. Results: From 3874 records screened after deduplication, 30 primary reports of RCTs were identified (GCA:n=23; TAK:n=7), from which 16 trials with categorical outcomes (GCA: n=12; TAK: n=4) published after 2000 were analyzed for FI or RFI and FQ. For trials with a significant primary end-point in GCA [n=6, RoB low for 3], the FI ranged from 1 to 12 and FQ ranged from 0.014 to 0.115. The one significant trial in TAK had FI of 1 and FQ 0.025 (Table 1). For trials without significant primary end-points in GCA [n=7, RoB low for 2], the RFI ranged from 1 to 9 and FQ ranged from 0.015 to 0.33. For trials without a significant primary end-point in TAK [n=3, RoB low for 1], RFI ranged from 2 to 6 and FQ ranged from 0.076 to 0.140 (Table 2). FQ was similar for trials with low risk of bias or those with some concerns or high risk of bias (mean±SD 0.10±0.04 vs 0.09±0.09, p=0.884). FQ was ≤0.1 for 9/12 trials of GCA and 2/4 trials of TAK. Conclusion: Most published trials in large vessel vasculitis are fragile. Including larger numbers of patients in future RCTs of GCA and TAK would increase the robustness of their results. REFERENCES: [1] Figueroa-Parra G, et al Lupus Sci Med. 2024;11(1):e001068. [2] Khan MS, et al. JAMA Netw Open. 2020 Aug 3;3(8):e2012469. Table 1Assessment of fragility index of randomized controlled trials of GCA and TAK published after 2000 with significant primary endpoints.DiseaseAuthor YearPrimary endpointEvents in intervention vs comparator group: Fragility index (FI)FQRoBGCAHoffman 2002First relapse by 12 monthsMethotrexate 31/39 vs PBO 31/32:FI=10.014HMazlumzadeh 2006In remission on ≤5 mg prednisolone at 36 weeksIVMP 10/14 vs PBO 2/13:FI=20.074HVilliger 2016Complete remission at prednisolone 0.1 mg/kg/day at week 12Tocilizumab 17/20 vs PBO 4/10:FI=10.033SStone 2017Rate of sustained glucocorticoid-free remission at week 52Tocilizumab weekly 56/100 vs PBO 7/50:FI=12Tocilizumab two-weekly 26/49 vs PBO 7/50:FI=100.080.10LCid 2022Sustained remission at week 26 (key secondary end-point)Mavrilimumab 35/42 vs PBO 14/28:FI=30.043LVenhoff 2023Sustained remission at week 28Secukinumab 16/27 vs PBO 2/25:FI=60.115LTAKWang 2024Efficacy rate at 6 months; Complete remission at 6 monthsAdalimumab 18/21 vs Tocilizumab 10/19 for both:FI=10.025HIVMP – Intravenous methylprednisolone pulse; PBO – Placebo.RoB – Risk of Bias; L – Low, S – Some concerns, H-High. Table 2Assessment of reverse fragility index of randomized controlled trials of GCA and TAK published after 2000 with non-significant primary end-pointsDiseaseAuthor YearPrimary endpointEvents in intervention vs comparator group: Reverse Fragility Index (RFI)FQRoBGCAChevalet 2000On glucocorticoids at 1 year*IVMP + 0.7 mg/kg/d prednisone 46/54 vs 0.7 mg/kg/d prednisone 33/43:RFI=4IVMP + 0.7 mg/kg/d prednisone 46/54 vs IVMP + 0.5 mg/kg/d prednisone 32/36:RFI=80.7 mg/kg/d prednisone 33/43 vs IVMP + 0.5 mg/kg/d prednisone 32/36:RFI=40.0240.0490.024HJover 2001Disease relapsesMethotrexate 7/15 vs PBO 15/18:RFI=10.024HHoffman 2002**First relapse by 6 monthsTreatment failure by 6 monthsTreatment failure by 12 monthsMethotrexate 29/42 vs PBO 24/35:RFI=9Methotrexate 10/39 vs PBO 12/33:RFI=5Methotrexate 22/37 vs PBO 24/29:RFI=10.1170.0690.015HHoffman 2007Relapse-free at 22 weeksAdverse eventsInfliximab 12/28 vs PBO 8/16:RFI=7Infliximab 26/28 vs PBO 15/16:RFI=80.1590.182LMartinez-Taboada 2007Withdrawal of corticosteroids with control of disease activity at 12 monthsEtanercept 4/8 vs PBO 2/9:RFI=20.118HSeror 2013Percentage in remission on <0.1 mg/kg prednisone at 26 weeksAdalimumab 20/34 vs PBO 18/36:RFI=70.1LRaine 2018Persistent clinical disease control at 26 weeksMR prednisone 6/7 vs IR prednisone 4/5:RFI=40.33STAKLangford 2017Relapse-free survival at month 12 (ITT)Abatacept 2/11 vs PBO 6/15:RFI=20.076LNakaoka 2018Relapses (ITT)Tocilizumab 8/18 vs PBO 11/18:RFI=40.111SPadiyar 2024Clinical response at 9 monthsMycophenolate 15/21 vs Methotrexate 14/22:RFI=60.140S* One out of five primary end-points was categorical.**Had more than one primary endpoint.IR – Immediate release, IVMP – Intravenous methylprednisolone pulse, MR – Modified release; PBO – Placebo.RoB – Risk of Bias: L – Low, S – Some concerns, H-High. Acknowledgements: None . Disclosure of Interests: None declared . © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.191
metaresearch head score (Gemma)0.527
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.998

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1910.527
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0080.013
Science and technology studies0.0010.006
Scholarly communication0.0110.010
Open science0.0040.004
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0690.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designMeta-analysis
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
Admission routes1
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